Charter brokers operate on speed and information advantage. Clients increasingly have access to the same aggregators brokers use. The edge comes from knowing aircraft availability, operator reliability, and disruption risk before anyone else — and that data does not exist in any one place today.
Wingbits.AI sits on our own network of 6,000+ professionally operated ADS-B ground stations across 120+ countries — live and historical flight data, authenticated at the source. You ask in plain English. No integrations to build, no query language, no API docs to read first.
Is N123AB available in KLAS this weekend?
N123AB is currently at KSDL (Scottsdale). Last flight landed 6 hours ago; no outbound activity since. Based on recent positioning it is a strong candidate for KLAS availability this weekend. Confidence: medium — confirm directly with the operator.
Compare an operator or airport against its observed on-time record — actual departures and arrivals versus schedule, from flight history rather than self-reported stats.
What is GLF123's observed on-time record for departures out of KTEB over the last month?
Query live positioning and routing to identify which aircraft are likely to be available in a given location on a given date — before calling the operator.
Which Gulfstream G650s are near KLAX right now, and what have they flown in the last 48 hours?
Build a view of how consistently specific operators perform — on-time rates, cancellation patterns, disruptions — to inform which operators you recommend to high-value clients.
What is the observed delay rate for flights departing EGLL this month?
Validated with a managing partner who has spent 15+ years in charter, fractional, and aircraft acquisitions — delay awareness and availability querying as the highest-value use cases.
Wingbits.AI tracks live position and recent flight history from its own ADS-B network, so you can see where a tail last landed and whether its positioning makes it a realistic candidate for a trip before you pick up the phone.
Yes. Ask whether a specific registration is likely to be available at a given airport on a given date and get its last known position, most recent flight, and time since landing.
You can pull observed on-time performance, delay rates, and cancellation patterns for a specific operator over a recent period, based on flight history captured by the network rather than the operator's self-reported record.
You can ask for observed delay statistics at a specific airport over a recent window — for example departures out of EGLL this month — pulled from actual versus scheduled times in the flight history.
You can ask for aircraft of a given type within a set radius of an airport, with their last landing time and recent activity. Wingbits.AI does not see filed flight plans or booking status, so treat the result as a positioning shortlist to confirm with the operator — still far faster than checking boards manually.
No. Questions are asked in plain English with no dashboards or integrations to set up, so a broker gets an answer directly instead of waiting on someone else.
It's built on Wingbits' own network of 6,000+ professionally operated ADS-B ground stations in 120+ countries, giving brokers verified, source-authenticated data rather than a crowdsourced or aggregated feed.